283 lines
6.6 KiB
HTML
283 lines
6.6 KiB
HTML
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<meta name="description" content="This week I did some research into how to build a CNN from scratch, including the different type of layers, loss functions, learning rates, epochs and other core concepts.12
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I also set up and created this blog with Hugo to document my progress and setup Woodpecker CI to do continuous testing and integration.
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deeplizard. “Convolutional Neural Networks (CNNs) explained.” (Dec. 9, 2017). Accessed: Feb. 22, 2022. [Online Video]. Available: https://youtube.">
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<meta name="theme-color" content="#FFFFFF"><meta property="og:title" content="Week 4" />
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<meta property="og:description" content="This week I did some research into how to build a CNN from scratch, including the different type of layers, loss functions, learning rates, epochs and other core concepts.12
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I also set up and created this blog with Hugo to document my progress and setup Woodpecker CI to do continuous testing and integration.
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deeplizard. “Convolutional Neural Networks (CNNs) explained.” (Dec. 9, 2017). Accessed: Feb. 22, 2022. [Online Video]. Available: https://youtube." />
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<meta property="article:published_time" content="2022-02-27T12:46:59+00:00" />
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<title>Week 4 | MMP | Oscar Pocock</title>
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<h1>
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<a href="/posts/week-4/">Week 4</a>
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</h1>
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<h5>February 27, 2022</h5>
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<p>This week I did some research into how to build a CNN from scratch, including the different type of layers, loss functions, learning rates, epochs and other core concepts.<sup id="fnref:1"><a href="#fn:1" class="footnote-ref" role="doc-noteref">1</a></sup><sup id="fnref:2"><a href="#fn:2" class="footnote-ref" role="doc-noteref">2</a></sup></p>
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<p>I also set up and created this blog with
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<a href="https://gohugo.io/">Hugo</a> to document my progress and setup
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<a href="https://woodpecker-ci.org/">Woodpecker CI</a> to do continuous testing and integration.</p>
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<section class="footnotes" role="doc-endnotes">
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<li id="fn:1" role="doc-endnote">
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<p>deeplizard. “Convolutional Neural Networks (CNNs) explained.” (Dec. 9, 2017). Accessed: Feb. 22, 2022. [Online Video]. Available:
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<a href="https://youtube.com/watch?v=YRhxdVk_sIs">https://youtube.com/watch?v=YRhxdVk_sIs</a> <a href="#fnref:1" class="footnote-backref" role="doc-backlink">↩︎</a></p>
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</li>
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<li id="fn:2" role="doc-endnote">
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<p>A Rosebrock. “PyTorch: Training your first Convolutional Neural Network (CNN)”. pyimagesearch.com.
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<a href="https://pyimagesearch.com/2021/07/19/pytorch-training-your-first-convolutional-neural-network-cnn/">https://pyimagesearch.com/2021/07/19/pytorch-training-your-first-convolutional-neural-network-cnn/</a> (accessed Feb. 22, 2022.) <a href="#fnref:2" class="footnote-backref" role="doc-backlink">↩︎</a></p>
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